Literature DB >> 25937561

In vivo RNAi screens: concepts and applications.

Shane Crotty1, Matthew E Pipkin2.   

Abstract

Functional genomics approaches that leverage the RNAi pathway have been applied in vivo to examine the roles of hundreds or thousands of genes; mainly in the context of cancer. Here, we discuss principles guiding the design of RNAi screens, parameters that determine success and recent developments that have improved accuracy and expanded the applicability of these approaches to other in vivo settings, including the immune system. We review recent studies that have applied in vivo RNAi screens in T cells to examine genes that regulate T cell differentiation during viral infection, and that control their accumulation in tumors in a model of adoptive T cell therapy. In this context, we put forward an argument as to why RNAi approaches in vivo are likely to provide particularly salient insight into immunology.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  T follicular helper cell differentiation; immunotherapy; in vivo RNAi screens; memory CD8 T cell differentiation; pooled screens

Mesh:

Substances:

Year:  2015        PMID: 25937561      PMCID: PMC4810674          DOI: 10.1016/j.it.2015.03.007

Source DB:  PubMed          Journal:  Trends Immunol        ISSN: 1471-4906            Impact factor:   16.687


  84 in total

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Journal:  Nature       Date:  2006-05-25       Impact factor: 49.962

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4.  Probing tumor phenotypes using stable and regulated synthetic microRNA precursors.

Authors:  Ross A Dickins; Michael T Hemann; Jack T Zilfou; David R Simpson; Ingrid Ibarra; Gregory J Hannon; Scott W Lowe
Journal:  Nat Genet       Date:  2005-10-02       Impact factor: 38.330

5.  A lentiviral RNAi library for human and mouse genes applied to an arrayed viral high-content screen.

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Journal:  Cell       Date:  2006-03-24       Impact factor: 41.582

6.  Restoring function in exhausted CD8 T cells during chronic viral infection.

Authors:  Daniel L Barber; E John Wherry; David Masopust; Baogong Zhu; James P Allison; Arlene H Sharpe; Gordon J Freeman; Rafi Ahmed
Journal:  Nature       Date:  2005-12-28       Impact factor: 49.962

7.  CTLA-4 and PD-1 receptors inhibit T-cell activation by distinct mechanisms.

Authors:  Richard V Parry; Jens M Chemnitz; Kenneth A Frauwirth; Anthony R Lanfranco; Inbal Braunstein; Sumire V Kobayashi; Peter S Linsley; Craig B Thompson; James L Riley
Journal:  Mol Cell Biol       Date:  2005-11       Impact factor: 4.272

8.  Generation and analysis of genetically defined liver carcinomas derived from bipotential liver progenitors.

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10.  Polycistronic RNA polymerase II expression vectors for RNA interference based on BIC/miR-155.

Authors:  Kwan-Ho Chung; Christopher C Hart; Sarmad Al-Bassam; Adam Avery; Jennifer Taylor; Paresh D Patel; Anne B Vojtek; David L Turner
Journal:  Nucleic Acids Res       Date:  2006-04-13       Impact factor: 16.971

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Review 4.  Targeting GPCRs and Their Signaling as a Therapeutic Option in Melanoma.

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Journal:  Genes (Basel)       Date:  2022-02-24       Impact factor: 4.096

  5 in total

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